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Diptera, Tabanoidea, Tabanidae) Dorian D Dörge et al. Parasites Vectors (2020) 13:461 https://doi.org/10.1186/s13071-020-04316-7 Parasites & Vectors RESEARCH Open Access Incompletely observed: niche estimation for six frequent European horsefy species (Diptera, Tabanoidea, Tabanidae) Dorian D. Dörge1*, Sarah Cunze1 and Sven Klimpel1,2 Abstract Background: More than 170 species of tabanids are known in Europe, with many occurring only in limited areas or having become very rare in the last decades. They continue to spread various diseases in animals and are responsible for livestock losses in developing countries. The current monitoring and recording of horsefies is mainly conducted throughout central Europe, with varying degrees of frequency depending on the country. To the detriment of tabanid research, little cooperation exists between western European and Eurasian countries. Methods: For these reasons, we have compiled available sources in order to generate as complete a dataset as possi- ble of six horsefy species common in Europe. We chose Haematopota pluvialis, Chrysops relictus, C. caecutiens, Tabanus bromius, T. bovinus and T. sudeticus as ubiquitous and abundant species within Europe. The aim of this study is to esti- mate the distribution, land cover usage and niches of these species. We used a surface-range envelope (SRE) model in accordance with our hypothesis of an underestimated distribution based on Eurocentric monitoring regimes. Results: Our results show that all six species have a wide range in Eurasia, have a broad climatic niche and can there- fore be considered as widespread generalists. Areas with modelled habitat suitability cover the observed distribution and go far beyond these. This supports our assumption that the current state of tabanid monitoring and the recorded distribution signifcantly underestimates the actual distribution. Our results show that the species can withstand extreme weather and climatic conditions and can be found in areas with only a few frost-free months per year. Addi- tionally, our results reveal that species prefer certain land-cover environments and avoid other land-cover types. Conclusions: The SRE model is an efective tool to calculate the distribution of species that are well monitored in some areas but poorly in others. Our results support the hypothesis that the available distribution data underestimate the actual distribution of the surveyed species. Keywords: Tabanidae, Tabanus, Haematopota, Chrysops, Niche, Climate, Land cover, Surface range, Model, Envelope *Correspondence: [email protected] 1 Institute for Ecology, Evolution and Diversity, Goethe-University, Max-von-Laue-Str. 13, 60439 Frankfurt/Main, Germany Full list of author information is available at the end of the article © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creat iveco mmons .org/licen ses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creat iveco mmons .org/publi cdoma in/ zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Dörge et al. Parasites Vectors (2020) 13:461 Page 2 of 10 Background bovinus (Linnaeus, 1758) and Tabanus sudeticus (Zeller, Common throughout the world, tabanids are hematopha- 1842). Tabanus spp. and Haematopota spp. are relatively gous dipterans. Worldwide there are about 4400 known eurytopic and do not require stagnant water but moist species [1, 2] of which more than 170 occur in Europe [3]. soil for egg-laying and larval development [25, 39–43], Female horsefies can cause severe skin lesions [4, 5] and while Chrysops belongs to the hydrophilous ecological are able to efectively transmit diferent diseases [6–8] group and depends on ponds, rivers or lakes [44]. due to their excessive feeding behavior [9]. Tese include To fnd a realistic dispersal of the species, we calcu- the eye worm Loa loa (sausing loaiasis) [2, 7, 10, 11], the lated the climatic niche and the land cover allocation of equine infectious anemia virus [12–14], Trypanosoma occurrence points using available literature and database theileri [15, 16] and T. evansi (Surra) which mainly infect data ranging back to 1990. We used the ecological niche livestock [2] but can also infect humans [17]. Further model (ENM) with a surface-range envelope (SRE) to transmittable pathogens are Spiroplasma [18–20], Bacil- project the potential distribution within Europe and Asia. lus tularensis (causing tularemia) [21], Bacillus anthrax In order to counteract the present sampling bias, we used (Anthrax) [12], bovine mycoplasma [22], Elaeophora sch- this method, as it is particularly resistant to over- and neideri (causing elk and deer flariosis) [23] as well as Bes- under-representation of species in databases and litera- noitia besnoiti (causing bovine besnoitiosis) [24]. ture. We also compared the modelled niches (climatic Many species require slow fowing or stagnant water envelopes), as well as the preferred type of land cover and with shallow zones for egg-laying and for the migration of the number of frost-free months required for the six spe- larvae between land and water. Te larvae live predatorily cies to exist. or feed on detritus at the edge of the water, seeking dry ground to pupate. Other species, however, are specialized Methods in drier areas and do not require bodies of water but only For our analysis, we compiled data collected from an moist soil or dung from grazing animals [2, 3, 25–27]. As extensive literature research [37, 45–113] as well as a result of the draining of many of Europe’s wetlands [28, the GBIF-Database [114–120]. Occurrence data were 29], the number of susceptive horsefies has fallen sharply adjusted to the spatial resolution (5 arc-minutes) of the [30]. Current insecticide- and land-use changes are fur- environmental raster data and reduced to one occurrence ther reducing the numbers [31–34]. However, especially per grid cell. in poorer countries, cattle and other livestock continue to sufer due to lack of protection or control options, result- Estimation of the potential distribution ing in anemia or severe skin damage to the afected ani- For the niche range analysis, 8 bioclimatic variables pro- mals [2, 35, 36]. vided by Worldclim [121] were downloaded at a spatial Recent research within Europe is focused mainly on resolution of 5 arc-minutes. Te variables Bio5, Bio6, monitoring points within a few countries for the occur- Bio13, Bio14, Bio18 and Bio19 were used. We computed rence of horsefies and potential control measures [37] SREs (as implemented in the biomod2 R-package [122] as well as ecological and anthropogenic efects on their for each tabanid species and considered three models: populations [38]. To date, there are no standardized and the full model (yellow in the depictions), 95% (orange) repeatedly executed monitoring protocols for horsefies and 90% (red) of all occurrence points. Maps were cre- in Eurasia (and other continents as well), which makes ated in Esri ArcGIS [123]. it difcult to acquire, compile and utilize existing data for calculations and projections. Due to the diferent Comparison of requirements monitoring schemes within diferent countries, occur- Data were acquired from ESA GlobCover [124] for the rences are either over- or underestimated and combin- activity phases, as well as for the land-cover preference ing these datasets is complicated. Based on the lack of comparisons. For the activity comparison, the amount of monitoring in many countries, not much is known about frost-free months was derived from the monthly mini- horsefy complete distribution. Finally, since only sites mum temperature, provided by Worldclim [121]. Te in western Europe have been extensively recorded, the type of land cover was obtained from GlobCover at the distribution in the rest of Eurasia is most likely greatly respective sites for the land-cover comparison and the underestimated. relative frequencies of individual LC-types were com- Six species commonly observed in central Europe were pared with the availability of the LC-type (relative fre- used for our study: Chrysops relictus (Meigen 1820) and quency in the study area). Te range of the study area the morphologically similar species Chrysops caecutiens is reduced to −10°W, 45°E, 79°N and 35°S based on the (Linnaeus, 1758), Haematopota pluvialis (Linnaeus, lack of data from more eastern areas. Land cover cat- 1758), Tabanus bromius (Linnaeus, 1758), Tabanus egories were combined when adequate, resulting in 11 Dörge et al. Parasites Vectors (2020) 13:461 Page 3 of 10 categories: Cropland > 50% (11, 14); Grass/Shrubland with H. pluvialis occurring slightly less frequently and T. (110, 120, 130, 140); Broadleaf Forest (40, 50, 60); Mixed bromius occurring slightly more frequently. Similarly, in Forest (100); Dense Evergreens (70); Light Evergreens Mixed Forest there was only a slightly higher value for T. (90); Mosaic Vegetation (20, 30); Sparse Vegetation (150); bovinus. In the category Dense Evergreens, C. caecutiens, Artifcial (190); Water Bodies (210); and Other (160, 170, C. relictus and T. bovinus showed a negative deviation 180, 195, 215). from the expected value between 60% and 90% while T. bromius (30%) and T. sudeticus (80%) were more com- Results mon. Except for the values, this efect was exactly the Figure 1 shows three diferent models of all six surveyed opposite in the category Light Evergreens.
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